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At Measure Camp Madrid 2024
I gave a short talk pack with methodology and resources. The goal: to be able to help other analysts in one of the most repetitive and least visible activities of the profession: data validation and qualification. The talk was very well receiv, they even mov us to another room due to the large number of interest people . A very good linkedin data sign (which I did not expect at all) and which shows that this topic, although not one of the sexiest, is undoubtly of concern and vital in the work of the analyst.
You can see the presentation slides at the end of this post
Below is a summary of all the details we discuss.
Table of contents
The instability of the web and app data ecosystem forces us to validate.
The timing is not helping. GA4 and its according to a facebook spokesperson new technologies complicate everything.
The data loss funnel.
Too much work, too repetitive
Automating data collection for validations.
Crawlers and RPAs
Trigger Validation Hits.
JS Trackers and Proxies
GA/Looker and BigQuery Reports
Simple validations.
In conclusion The slides of the talk
The instability of the web and app data ecosystem forces us to validate.
The “Dev” effect: Validatable Standard Deviation (a little joke to break the ice) is the cause of an indisputable necessity. In live websites, measurements are broken. Sometimes drastically, other times with a simple variation of some variable that completely snbd host dismantles our reports and our statistics.